Software Development Engineer in Test - Performance Focus

We Love AI Jobs; Pune District; Hybrid; INR 1,000,000 - 2,000,000; Full time

Job summary

Alteryx in Pune (Hybrid) is hiring a Software Development Engineer in Test with a performance focus and 3+ years of software engineering experience. You'll help build an AI-assisted performance engineering platform for reusable testing tooling and CI/CD integration.

You will develop templates, scripts, SDKs for API/UI/service/code testing, integrate with Datadog, OpenTelemetry, and Kubernetes, and collaborate with product, SRE, and QA teams.

Qualifications

• 3+ years of professional software engineering experience.
• Experience with performance testing and automation tools.
• Strong understanding of APIs, distributed systems, and cloud services.
• Familiarity with observability and CI/CD workflows.
• Proficiency in Python and TypeScript.

Responsibilities

• Build reusable tools and workflows for API, UI, service, and code performance testing.
• Integrate performance checks into CI/CD and developer workflows.
• Connect performance testing with observability tools and help identify regressions early.

Skills

Python

TypeScript

k6

Locust

Grasshopper

Datadog

OpenTelemetry

Kubernetes

Tools

Grafana

Prometheus

InfluxDB

Jira automation

Playwright

Job description

# Software Development Engineer in Test - Performance FocusAlteryxBangalore, IndiaFull-timeUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThis software engineering role builds an AI-assisted performance engineering platform that helps development teams create tests, analyze results, and catch regressions earlier. It focuses on reusable testing tools, CI/CD integration, observability, and workflows used across Alteryx engineering teams.* Full-time* Hybrid* 3+ years### Skills and expertisePythonTypeScriptk6LocustGrasshopperDatadogOpenTelemetryKubernetes### Key responsibilities* Build reusable tools and workflows for API, UI, service, and code performance testing.* Integrate performance checks and AI-assisted workflows into CI/CD and developer workflows.* Connect performance testing with observability tools and help teams identify regressions earlier.## How this job comparesCompared with 1,047 open mid-level engineering jobs on October 10, 2026.Similar open jobs: We Love AI Jobs lists 1,047 open mid-level engineering jobs at 274 companies.Remote work: This job is hybrid. 104 of the 1,047 mid-level engineering jobs (10%) are remote.AI in this role: Medium. The role uses AI tools and works with AI systems as a regular part of the job. The platform uses AI-assisted workflows for test creation, analysis, and defect handling, and the role may build agentic automation. AI is part of a broader performance engineering platform rather than the sole focus.## Full descriptionMeet the Moment with AlteryxWe're living through a once-in-a-generation shift in how work gets done. Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx is leading the transformation.You'll be working on the challenges that sit at the heart of modern business. No matter your role, the work you do will help organizations move faster, see more clearly, and tackle questions that used to feel impossible.If you're ready to meet the moment with innovation, curiosity, and excellence, there's a place for you here.We are hiring a Software Engineer to help build Alteryx’s next-generation Performance Engineering Platform.This role is for a software engineer with 3+ years of software engineering experience, including exposure to developer tools, automation, CI/CD, performance testing, or cloud-native systems.The goal is to help engineering teams test, understand, and improve performance earlier in the SDLC through developer-first, AI-assisted tooling.This is not a traditional QA or manual performance testing role. This is an engineering role focused on frameworks, automation, observability, CI/CD integration, and agentic AI workflows.Work Location : Pune (Hybrid)What You’ll Do• Build features for an agentic, AI-first self-service performance platform.• Develop reusable tools, templates, scripts, SDKs, and workflows for API, UI, service, and code performance testing.• Help integrate performance checks into CI/CD pipelines and developer workflows.• Build AI-assisted workflows for performance test creation, execution, result analysis, defect creation, and service-team notification.• Support performance validation for Critical User Journeys, releases, and scale events.• Help standardize performance test inputs, outputs, thresholds, evidence, and reporting.• Integrate with observability tools such as Datadog, logs, traces, dashboards, and reporting systems.• Work with product engineering, SRE, platform, QA, and architecture teams.• Contribute to documentation, examples, and onboarding material for development teams.What We’re Looking For• 3+ years of professional software engineering experience.• Programming experience in Python, TypeScript, Go, or similar languages.• Understanding of APIs, distributed systems, cloud services, and service-to-service communication.• Experience with automation, CI/CD, internal tools, or developer workflows.• Familiarity with performance testing concepts such as load, spike, soak, stress, capacity, or regression testing.• Familiarity with observability using metrics, logs, traces, dashboards, or alerts.• Ability to build simple, maintainable, and reusable software.• Good communication and collaboration skills.Must Have• Experience with tools such as k6, Locust, and Grasshopper• Experience in Python and TypeScript.• Experience with Datadog, OpenTelemetry, Grafana, Prometheus, or InfluxDB.• Experience with Kubernetes, cloud-native systems, or large-scale SaaS platforms.Nice To Have• Experience with tools such as Playwright• Experience with SLOs, SLIs, Apdex, error budgets, or burn-rate alerting.• Experience building AI agents, MCPs, AI-assisted developer tools, or agentic automation workflows.• Experience with Jira automation, defect routing, or engineering dashboards.